Free Google Associate Cloud Engineer Exam Dumps and Associate Cloud Engineer Exam Questions

Question No: 11

MultipleChoice

You are planning to migrate the following on-premises data management solutions to Google Cloud:

* One MySQL cluster for your main database

* Apache Kafka for your event streaming platform

* One Cloud SQL for PostgreSQL database for your analytical and reporting needs

You want to implement Google-recommended solutions for the migration. You need to ensure that the new solutions provide global scalability and require minimal operational and infrastructure management. What should you do?

Options

AMigrate from MySQL to Cloud SQL, from Kafka to Pub/Sub, and from Cloud SQL for PostgreSQL to BigQuery.

BMigrate from MySQL to Cloud Spanner, from Kafka to Pub/Sub, and from Cloud SQL for PostgreSQL to BigQuery.

CMigrate from MySQL to Cloud Spanner, from Kafka to Memorystore, and from Cloud SQL for PostgreSQL to Cloud SQL.

DMigrate from MySQL to Cloud SQL, from Kafka to Memorystore, and from Cloud SQL for PostgreSQL to Cloud SQL.

Answer
BExplanation

Cloud Spanner, Pub/Sub, and BigQuery are Google-recommended solutions for migrating your on-premises data management solutions to Google Cloud. They provide global scalability and require minimal operational and infrastructure management. Here is why:

Cloud Spanner is a fully managed, relational database service that offers strong consistency, high availability, and horizontal scalability across regions and continents. It is compatible with MySQL and can handle high-throughput OLTP workloads. It is a good choice for migrating your main database from MySQL to Google Cloud, as it can support your application's performance, availability, and growth requirements.

Pub/Sub is a fully managed, real-time messaging service that allows you to send and receive messages between independent applications. It is compatible with Apache Kafka and can handle high-volume event streaming and data ingestion. It is a good choice for migrating your event streaming platform from Kafka to Google Cloud, as it can support your application's reliability, scalability, and flexibility requirements.

BigQuery is a fully managed, serverless data warehouse that offers fast SQL queries, high scalability, and low cost. It is compatible with Cloud SQL for PostgreSQL and can handle complex analytical and reporting needs. It is a good choice for migrating your analytical and reporting database from Cloud SQL for PostgreSQL to Google Cloud, as it can support your application's speed, efficiency, and innovation requirements.

The other options are not correct because they either do not provide the required scalability, performance, or functionality. Option A is not correct because Cloud SQL is a regional, managed database service that does not offer the same level of scalability, availability, and consistency as Cloud Spanner. Option C is not correct because Memorystore is a regional, managed in-memory data store that does not offer the same level of functionality, durability, and integration as Pub/Sub. Option D is not correct because Cloud SQL is a regional, managed database service that does not offer the same level of scalability, performance, and cost-effectiveness as BigQuery.

Migrating from MySQL to Cloud Spanner

Migrating from Apache Kafka to Cloud Pub/Sub

Migrating from Cloud SQL for PostgreSQL to BigQuery

Question No: 12

MultipleChoice

You want to enable your development team to deploy new features to an existing Cloud Run service in production. To minimize the risk associated with a new revision, you want to reduce the number of customers who might be affected by an outage without introducing any development or operational costs to your customers. You want to follow Google-recommended practices for managing revisions to a service. What should you do?

Options

AGradually roll out the new revision and split customer traffic between the revisions to allow rollback in case a problem occurs.

BDeploy your application to a second Cloud Run service, and ask your customers to use the second Cloud Run service.

CAsk your customers to retry access to your service with exponential backoff to mitigate any potential problems after the new revision is deployed.

DSend all customer traffic to the new revision, and roll back to a previous revision if you witness any problems in production.

Answer
AExplanation

Cloud Run is a fully managed platform that allows you to deploy and run containerized applications without worrying about the underlying infrastructure. Cloud Run automatically scales your application based on the incoming requests, and you only pay for the resources you use. Cloud Run also supports deploying multiple revisions of your service, and splitting the customer traffic between them. This allows you to gradually roll out new features, test them in production, and monitor their performance and reliability. If you encounter any problems with the new revision, you can easily roll back to a previous revision by adjusting the traffic split. This is a Google-recommended practice for managing revisions to a service, as it minimizes the risk associated with a new revision, reduces the number of customers who might be affected by an outage, and does not introduce any development or operational costs to your customers.

The other options are not correct because they either do not follow the Google-recommended practice, or they do not reduce the risk or cost associated with a new revision. Option B is not correct because deploying your application to a second Cloud Run service, and asking your customers to use the second Cloud Run service, is not a gradual roll out, but a complete switch. This may cause confusion and inconvenience for your customers, and it does not allow you to monitor the performance and reliability of the new revision in comparison with the old one. Option C is not correct because asking your customers to retry access to your service with exponential backoff to mitigate any potential problems after the new revision is deployed, is not a good user experience, and it does not address the root cause of the problems. Option D is not correct because sending all customer traffic to the new revision, and rolling back to a previous revision if you witness any problems in production, is a risky and costly strategy, as it exposes all your customers to the potential problems, and it does not allow you to test the new revision before deploying it to all customers.

Cloud Run documentation

Managing revisions

Splitting traffic

Question No: 13

MultipleChoice

Your company is running a three-tier web application on virtual machines that use a MySQL database. You need to create an estimated total cost of cloud infrastructure to run this application on Google Cloud instances and Cloud SQL. What should you do?

Options

AUse the Google Cloud Pricing Calculator to determine the cost of every Google Cloud resource you expect to use.
Use similar size instances for the web server, and use your current on-premises machines as a comparison for Cloud SQL.

BCreate a Google spreadsheet with multiple Google Cloud resource combinations. On a separate sheet, import the current Google Cloud prices and use these prices for the calculations within formulas.

CImplement a similar architecture on Google Cloud, and run a reasonable load test on a smaller scale. Check the billing information, and calculate the estimated costs based on the real load your system usually handles.

DUse the Google Cloud Pricing Calculator and select the Cloud Operations template to define your web application with as much detail as possible.

Answer
AExplanation

The Google Cloud Pricing Calculator is a tool that allows you to estimate the cost of using Google Cloud products and services based on your specific needs and preferences. You can add various Google Cloud resources to your estimate, such as Compute Engine instances, Cloud SQL instances, network services, storage options, and more. You can also adjust the parameters of each resource, such as the region, zone, machine type, disk size, network egress, and usage hours. The Google Cloud Pricing Calculator will show you the monthly and hourly cost of each resource, as well as the total cost of your estimate. You can also save, share, or export your estimate for future reference.

To create an estimated total cost of cloud infrastructure to run your three-tier web application on Google Cloud instances and Cloud SQL, you should use the Google Cloud Pricing Calculator to determine the cost of every Google Cloud resource you expect to use. You should use similar size instances for the web server, such as n1-standard-1 or n1-standard-2, depending on your application's CPU and memory requirements. You should also use your current on-premises machines as a comparison for Cloud SQL, such as MySQL 5.7 or MySQL 8.0, depending on your database version. You should also consider the network and storage costs associated with your application, such as the network egress, persistent disk, and Cloud Storage.

The other options are not correct because they either do not use the Google Cloud Pricing Calculator, or they do not provide a reliable or accurate estimate of the cloud infrastructure cost. Option B is not correct because creating a Google spreadsheet with multiple Google Cloud resource combinations is a manual and tedious process that may not reflect the current Google Cloud prices or discounts. Option C is not correct because implementing a similar architecture on Google Cloud, and running a reasonable load test on a smaller scale, is a time-consuming and costly process that may not represent the actual load or performance of your application. Option D is not correct because using the Google Cloud Pricing Calculator and selecting the Cloud Operations template will not define your web application with as much detail as possible, as the Cloud Operations template is designed for estimating the cost of monitoring and logging services, not the compute, database, network, and storage services.

Google Cloud Pricing Calculator

Compute Engine pricing

Cloud SQL pricing

Question No: 14

MultipleChoice

30. You are running multiple microservices in a Kubernetes Engine cluster. One microservice is rendering images. The microservice responsible for the image rendering requires a large amount of CPU time compared to the memory it requires. The other microservices are workloads that are optimized for n1-standard machine types. You need to optimize your cluster so that all workloads are using resources as efficiently as possible. What should you do?

Options

AAssign the pods of the image rendering microservice a higher pod priority than the older microservices

BCreate a node pool with compute-optimized machine type nodes for the image rendering microservice Use the node pool with general-purpose
machine type nodes for the other microservices

CUse the node pool with general-purpose machine type nodes for lite mage rendering microservice Create a nodepool with compute-optimized machine type nodes for the other microservices

DConfigure the required amount of CPU and memory in the resource requests specification of the image rendering microservice deployment Keep the resource requests for the other microservices at the default

Question No: 15

MultipleChoice

Your company's security vulnc'ability managen->enl policy wonts 3 member of the security tearr ;o have visibility into vulnerabi ities and other OS metadata for a specific Compute Engine instance This Compute Engine instance hosts a critical application in your Gongle Cloud p'oject. You need to irrplement your company's security vulnerability management policy. What should you dc?

Options

A* Ensuie that the Ops Agent Is Installed on the Compute Engine instance.
* Create a custom metric in the Ctoud Monitoring dashboard.
* Provide the security team menber with access to this dashboard.

B* Ensure :hat the Ops Agent is installed on tie Compute Engine instance.
* Provide the security team member roles/configure.inventoryViewer permission.

C* Ensure that the OS Config agent Is Installed on the Compute Engine instance.
* Provide the security team member roles/configure.vulnerabilityViewer permission.

D* Ensure that the OS Config agent is installed on the Compute Engine instance
* Create a log sink Co a BigQuery dataset.
* Provide the security team member with access to this dataset.

Question No: 16

MultipleChoice

You are creating an application that will run on Google Kubernetes Engine. You have identified MongoDB as the most suitable database system for your application and want to deploy a managed MongoDB environment that provides a support SLA. What should you do?

Options

ACreate a Cloud Bigtable cluster and use the HBase API

BDeploy MongoDB Alias from the Google Cloud Marketplace

CDownload a MongoDB installation package and run it on Compute Engine instances

DDownload a MongoDB installation package, and run it on a Managed Instance Group

Question No: 17

MultipleChoice

Your security team has been reluctant to move to the cloud because they don't have the level of network visibility they're used to. Which feature might help them to gain insights into your Google Cloud network?

Options

ARoutes

BSubnets

CFlow logs

DFirewall rules

Question No: 18

MultipleChoice

What's the easiest way to ensure that the nodes in your Kubernetes cluster are always up-to-date with the latest stable version of Kubernetes?

Options

AOpt into the Kubernetes Node Update program from the quotas page.

BRun the kubectl nodes update command.

CRun the kubectl nodes upgrade command.

DEnable the automatic node upgrades setting.

Question No: 19

MultipleChoice

Your developers have created an application that needs to be able to make calls to Cloud Storage and BigQuery. The code is going to run inside a container and will run on Kubernetes Engine and on-premises.

What's the best way for them to authenticate to the Google Cloud services?

Options

ACreate a service account, grant it the least viable privileges to the required services, generate and download a key. Use the key to authenticate inside the application.

BUse the default service account for App Engine which already has the required permissions.

CUse the default service account for Compute Engine which already has the required permissions.

DCreate a service account, with editor permissions, generate and download a key. Use the key to authenticate inside the application.

Question No: 20

MultipleChoice

Your developers are trying to connect to an Ubuntu server over SSH to diagnose some errors. However, the connection times out. Which command should help solve the problem?

Options

Agcloud compute firewall-rules create 'open-ssh' --network $NETWORK --allow tcp:22

Bgcloud compute firewall-rules create 'open-ssh'

Cgcloud compute firewall-rules create 'open-ssh' --network $NETWORK --deny tcp:22

Dgcloud compute firewall-rules create 'open-ssh' --network $NETWORK --allow tcp:3389